In this study Illumina MiSeq was performed to investigate microbial diversity in soil, leaves, grape, grape juice and wine. A total of 1,043,102 fungal Internal Transcribed Spacer (ITS) reads 2,422,188 high quality bacterial 16S rDNA sequences were used for taxonomic classification, revealed five eight phyla. At the genus level, dominant fungi Ascomycota, Sordariales, Tetracladium Geomyces Aureobasidium Pleosporaceae grapes juice. The bacteria Kaistobacter, Arthrobacter, Skermanella...

High-throughput phenotypic identification is a prerequisite for large-scale and gene mining of important traits. However, existing work has rarely leveraged high-throughput into quantitative trait locus (QTL) acquisition in wheat crops. Clarifying the feasibility effectiveness data obtained from UAV multispectral images traits an urgent problem to be solved wheat. In this paper, 309 lines spring Worrakatta × Berkut recombinant inbred line (RIL) were taken as materials. First, we leaf area...

Plant height is a critical agronomic that affects both plant architecture and yield. To decipher the genetic mechanisms underlying winter wheat identify candidate genes associated with this trait, we conducted phenotypic analysis on 239 varieties (lines) collected from around world. This was complemented by genotyping using 55K SNP chip. A Wholegenome association (GWAS) of utilizing MLM (Q+K) model within TASSLE software. The results revealed significant variation in across different years,...

Cotton is not only the most important fiber crop but also fifth oilseed in world because of its oil-rich seeds as a byproduct production. By comparative transcriptome analysis between two germplasms with diverse oil accumulation, we reveal pieces gene expression network involved process synthesis cottonseeds. Approximately, 197.16 Gb raw data from 30 RNA sequencing samples 3 biological replicates were generated. Comparison high-oil and low-oil transcriptomes enabled identification 7682...

To obtain the canopy chlorophyll content of winter wheat in a rapid and non-destructive high-throughput manner, study was conducted on Xinjiang Manas Experimental Base 2021, multispectral images two water treatments' normal irrigation (NI) drought stress (DS) three key fertility stages (heading, flowering, filling) were obtained by DJI P4M unmanned aerial vehicle (UAV). The flag leaf (CC) data different genotypes field SPAD-502 Plus meter. Firstly, CC distribution studied, then, 13...

Considering the limited adaptability of existing substation inspection robot path planning (PP) algorithms, authors propose a novel PP method for mobile robots (MR) based on structure ultra-high voltage (UHV) system. The proposed combines improved ant colony optimization (IACO) algorithm and enhanced artificial potential field (EAPF) algorithm. To minimize interference pheromones, they introduced pheromone adjustment coefficient in later iterations Furthermore, global update method, which is...

Rapidly obtaining the chlorophyll content of crop leaves is great significance for timely diagnosis health and effective field management. Multispectral imagery obtained from unmanned aerial vehicles (UAV) being used to remotely sense SPAD (Soil Plant Analyzer Development) values wheat crops. However, existing research has not yet fully considered impact different growth stages populations on accuracy estimation. In this study, 300 materials winter natural in Xinjiang, collected between 2020...

Accurate, non-destructive and cost-effective estimation of crop canopy Soil Plant Analysis De-velopment(SPAD) is crucial for precision agriculture cultivation management. Unmanned aerial vehicle (UAV) platforms have shown tremendous potential in predicting SPAD. This was because they can rapidly accurately acquire remote sensing spectral data the real-time. In this study, a UAV equipped with five-channel multispectral camera (Blue, Green, Red, Red_edge, Nir) used to images sugar beets. These...

The microbial diversity of soil, grape leaves and fruits from three wine-growing areas in Xinjiang, China were analysed using high-throughput sequencing. Results show that five fungal phyla 237 genera, as well eight bacterial 314 genera detected 27 samples. For both fungi bacteria, the was most complex followed by fruit. In soil samples, Ascomycota, Sordariales, Tetracladium Geomyces dominant genus, while Arthrobacter, Kaistobacter Skermanella genus. With regard fruit, Aureobasidium,...

The construction environment of deep rock tunnels is complex, and effectively enhancing tunnel boring machine (TBM) tunneling efficiency paramount. Increasing rock-breaking minimizing cutter consumption are essential strategies for improving TBM efficiency. Selecting suitable parameters crucial reducing consumption. Existing research on the optimization ratio maximum spacing to penetration (Smax/P) based field-measured data limited, few studies compare analyze relationship between SE, CI,...

In this paper, we develop a robust signal space separation (rSSS) algorithm for real-time magnetoencephalography (MEG) data processing. rSSS is based on the spatial (SSS) method and it applies regression to automatically detect remove bad MEG channels so that results of SSS are not distorted. We extend existing via three important new contributions: 1) low-rank solver efficiently performs matrix operations; 2) subspace iteration scheme selects using low-order spherical harmonic functions; 3)...

To study the influence of voltage total harmonic distortion (THDV) and its spectrum on loss factor (FHL) maximum allowable load capacity ratio (Imax(pu)) for transformer LHCD system, system model is built through Simulink/MATLAB software. Based this model, winding are studied when supply source sinusoidal non-sinusoidal, respectively. The calculation carried out by method IEEE standard C57.110 considering skin effect. results both methods clearly show that THDV value has a significant effect...

Inverse time overcurrent protection can be applied to distribution networks with distributed power sources because of its superior characteristics, but limit coordination and value setting are complicated, which limits large-scale engineering application. Therefore, this paper proposes an inverse strategy for network(DN) based on improved gray wolf optimizer (GWO) algorithm. Firstly, the current optimization model operation characteristics established considering reliability, rapidity...

In order to further increase the effect of air pollution control in Beijing, relieve emission pressure brought by winter heating large scale air-source heat pump is conducted suburbs Beijing. This paper conducts research on influence start-up characteristics power grid, based analyzing and testing constant frequency air-source, variable AC pump, simulating within courts through Monte Carlo, these two kinds safe operation transformer, providing improvement measures reliability heating.

Content-Centric Networking (CCN) is a novel networking paradigm that treats the named contents, not hosts, as first-class citizens of network. In forwarding plane, CCN employs stateful scheme, which maintains per-packet state information in Pending Interest Table (PIT). By employing forwarding, enables native support for content requests aggregation and multicast. However, scheme requires large-sized PITs with extremely high access speed to store information, leading scalability issue. To...

陆地棉种子物理性状 QTL 定位 刘大军

The min/max state of charge (SoC) thresholds battery storage (BS), which challenge the economics frequency regulation (FR), have a certain degree uncertainty and need to be artificially re-calibrated after period operation time. To tackle this challenge, SoC threshold optimization method is proposed for joint FR by thermal power (TP) (BS) comprehensively considering automatic generation control (AGC) fatigue loss cost TP aging degradation BS. consists three parts: 1) AGC computed motion...

This study involved the extraction of polysaccharides from jujube for application in apricot storage. Although near-freezing temperature (NFT) storage is commonly employed preserving fresh fruit, its effectiveness somewhat limited. Incorporating was proposed to augment preservative effect on apricots. Our findings demonstrated that combined use NFT and can maintain fruit color, effectively inhibit decay. Additionally, Tandem Mass Tag (TMT) quantitative proteomic technology utilized analyze...

Abstract On the basis of collecting a large number practical engineering cases, this paper uses improved neural network prediction model based on multiple linear regression to build an substation project cost division projects. Using actual sample data for empirical research, results show that has high accuracy engineering. This research work provides reliable technical scheme power transmission project.